tmr-multichannel-seo-performance-report

tmr-multichannel-seo-performance-report is a skill for Claude Code from twominutereports/marketing-skills. It costs 149 tokens per session (45,151 once invoked), scanned A, original, no licence file.

An SEO performance report covering search results, website analytics, AI-generated traffic, page speed, and Google Business Profile activity. SEO means improving a website's visibility in search engines; Google Search Console and GA4 are Google's tools for search and website-usage data.

In plain words
What is it for?
Producing monthly or 28-day reports with clicks, impressions, click-through rate, Core Web Vitals, local business activity, and related measures.
Why use it?
It brings several sources of traffic and site-health data into one report instead of requiring separate checks.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the tmr-marketing-skills plugin — 15 skills, 1 MCP server shipped together

Good fit Producing monthly or 28-day reports with clicks, impressions, click-through rate, Core Web Vitals, local business activity, and related measures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/twominutereports/marketing-skills/tmr-multichannel-seo-performance-report
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add twominutereports/marketing-skills --skill tmr-multichannel-seo-performance-report
Clone the repo
git clone --depth 1 https://github.com/twominutereports/marketing-skills

Made for: Claude Code.

Or install tmr-marketing-skills, the plugin that ships this one along with the rest of its 15 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for tmr-multichannel-seo-performance-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/twominutereports/marketing-skills/tmr-multichannel-seo-performance-report/github.svg)](https://agentmods.dev/skills/twominutereports/marketing-skills/tmr-multichannel-seo-performance-report)
Your own site
<a href="https://agentmods.dev/skills/twominutereports/marketing-skills/tmr-multichannel-seo-performance-report"><img src="https://agentmods.dev/badge/skills/twominutereports/marketing-skills/tmr-multichannel-seo-performance-report/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for tmr-multichannel-seo-performance-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/twominutereports/marketing-skills/tmr-multichannel-seo-performance-report"><img src="https://agentmods.dev/badge/skills/twominutereports/marketing-skills/tmr-multichannel-seo-performance-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 45,151 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00149 $0.45151
Opus 5.5 $0.00060 $0.18060
Sonnet 5.5 $0.00030 $0.09030
Haiku 4.5 $0.00015 $0.04515

Measured 15d ago against content hash 80be228a9ab4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tmr-multichannel-seo-performance-report scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 15d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

from urllib.parse import urlparse
plugins/tmr-marketing-skills/skills/tmr-multichannel-seo-performance-report/SKILL.md · 1,308 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 15d ago First seen · 1,308 lines · 149 tokens per session scan A 80be228a9ab4

Subscribe to this mod's changes

tmr-multichannel-seo-performance-report is a skill published in the GitHub repository twominutereports/marketing-skills (9 stars, last pushed yesterday), with no licence file. It adds 149 tokens to every session and 45,151 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-09.

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